FLIP

Details

Positions: Software Engineer, Full-stack
Location: Remote - Option for in-person meetings. Team based in San Francisco, New York, Brazil and Kansas
Innovation Area: Software and Data Analytics
Position Type: TomKat Center-supported
Compensation: $8000
Internship Term: 8 weeks

Apply Here

At FLIP (www.goflip.ai), the Fleet Logistics Intelligence Platform, we are revolutionizing logistical operations for defense and commercial sectors through AI-driven predictive maintenance. Backed by prominent Silicon Valley, New York and UK Venture Capital firms, FLIP aims to transform the Department of Defense's $242B annual maintenance budget management. Born out of Stanford's Hacking for Defense class, our team, led by Jordi (BSc, MSc, MBA), a former NASA engineer, and Ben (BA, MBA), a Marine veteran. Our flagship product enhances data integrity, performs advanced analytics, and offers predictions with an accuracy rate of 92% on 80 types of vehicles, effectively replacing outdated spreadsheets and data workflows with our cutting-edge AI and machine learning technologies.

FLIP is operational at multiple Air Force Bases, managing over 3,000 vehicles. We also collaborate with major last-mile delivery fleets like Amazon and FedEx, optimizing operations and facilitating their transition to electric vehicles.

Responsibilities

Are you ready to make a significant impact in a dynamic startup environment? If you're passionate about the full spectrum of software development (UX, frontend, backend, deployment, etc.), this role is perfect for you. We're looking for an ML Software Engineer with full-stack capabilities to:

Develop and implement ML algorithms to analyze vast amounts of vehicle maintenance data, aiming to predict breakdowns with high accuracy.
Expand and enhance our Front-End (React) and Back-End (NestJS) infrastructure.
Manage project timelines, priorities, and deliverables effectively.

If you're eager to gain insights into fundraising and business management, our founders are dedicated to providing you with personalized mentorship and guidance

Who should apply

Bachelor’s or Master’s students in Computer Science, Symbolic Systems, Design or related technical fields.
Individuals with hands-on full-stack development experience, eager to contribute to a passionate startup team.
Candidates with a strong desire to learn and an unwavering motivation.

Required expertise

Experience with Node/React or NestJS (CS142 course is a plus)
Python data analysis, experience (with AI/ML algorithms is a plus)

Preferred skills/Majors

Major in Computer Science or Symbolic Systems.
Python (numpy, pandas), React (Tailwinds, Hooks), Node/NestJS.
Knowledge of SQL Databases and AWS Services (S3, Beanstalk, Lambda).
Figma / User-centered-design
Hacking for Defense/Lean Launchpad/Design for Extreme Affordability are a plus!